Image copy-move forgery detection using hierarchical feature point matching
Image copy-move forgery detection using hierarchical feature point matching
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DOI：
10.1109/apsipa.2016.7820758
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Yuanman Li;Jiantao Zhou
中科院分区：
文献类型：
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作者：
Yuanman Li;Jiantao Zhou
复制-移动伪造是最常用的篡改数字图像的操作之一。基于关键点的检测方法由于其对几何变换的鲁棒性，在揭示复制-移动证据方面已经被报道是非常有效的。然而，这些方法无法处理的情况下，复制移动伪造只涉及小或光滑的区域，其中的关键点的数量是非常有限的。为了解决这个问题，我们提出了一个简单而有效的复制移动伪造检测方法。通过降低对比度阈值和重新缩放输入图像，我们首先生成足够数量的关键点，即使在小区域或平滑区域中也存在。然后，提出了一种新的层次化匹配策略来解决关键点匹配问题。最后，通过利用每个关键点的主导方向信息，提出了一种新的迭代单应性估计技术。大量的实验结果证明了该方案的上级性能。
Copy-move forgery is one of the most commonly used manipulations for tempering digital images. Keypoint-based detection methods have been reported to be very effective in revealing copy-move evidences, due to their robustness against geometric transforms. However, these methods fail to handle the cases when copy-move forgery only involves small or smooth regions, where the number of keypoints is very limited. To tackle this challenge, we propose a simple yet effective copy-move forgery detection approach. By lowering the contrast threshold and rescaling the input image, we first generate a sufficient number of keypoints that exist even in the small or smooth regions. Then, a novel hierarchical matching strategy is developed for solving the keypoint matching problems. Finally, a novel iterative homography estimation technique is suggested through exploiting the dominant orientation information of each keypoint. Extensive experimental results are provided to demonstrate the superior performance of the proposed scheme.